# Finer-grained Milvus queries for faster, more accurate retrieval

> Milvus search and async_search now support radius, range_filter, and async search_parameters. These controls help teams tune recall vs. precision and reduce tail latency in high-throughput workloads.

- Published: 2025-12-18
- Author: Agno Team
- Category: Changelog
- Canonical: https://agno-com-nine.vercel.app/articles/finer-grained-milvus-queries-for-faster-more-accurate-retrieval
- Markdown: https://agno-com-nine.vercel.app/articles/finer-grained-milvus-queries-for-faster-more-accurate-retrieval.md

Milvus search and async_search now support radius, range_filter, and async search_parameters. These controls help teams tune recall vs. precision and reduce tail latency in high-throughput workloads.

Details:

- Radius and range_filter for precise vector similarity windows
- Optional async execution for lower latency and higher throughput
- Backward-compatible; defaults unchanged

Who this is for: Teams running RAG and vector search on Milvus that need predictable performance and relevance.